Open AccessResearch on Power Equipment Fault Diagnosis Technology Based on Acoustic Signal
Author(s) -
Hongsen Zou,
Haoyang Chen,
Zhiyuan Liu,
Guohua Wang
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/769/4/042099
Subject(s) - transformer , electric power system , power transmission , fault (geology) , electrical engineering , engineering , computer science , distribution transformer , reliability engineering , electronic engineering , power (physics) , automotive engineering , voltage , physics , quantum mechanics , seismology , geology
In recent years, with the continuous growth of China’s electricity load, the power industry has developed rapidly. Power transformer is the most important and expensive in transmission and distribution system of large-scale power equipment, which undertakes the important task of power transmission. With the development of power system towards ultra-high voltage, large power grid and intelligence, it is particularly important to improve the safe operation level of transformers. Once the power transformer accident occurs, the repair time is longer and the influence is more serious. To solve this problem, a new power equipment fault diagnosis technology based on acoustic signals is studied in this paper, which is used to accurately diagnose and analyse the running state of the transformer. The simulation results show that the fault diagnosis based on acoustic signal is more accurate and can effectively diagnose the fault of power equipment.